IDENTIFIKASI PERUBAHAN DASAR LAUT MENGGUNAKAN MODEL DATA BATIMETRI SINGLE BEAM PADA AREA PENAMBANGAN MINERAL BAWAH LAUT

One of the objectives of processing bathymetry data is to obtain surface profiles information of the seabed. These profiles can be used for navigation, offshore activities, research, and underwater mineral mining. In relation to the needs of submarine mineral mining, accurate seabed surface model is...

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Main Author: Ryandri Adhinusa, Mohammad
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/36788
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:36788
spelling id-itb.:367882019-03-15T09:48:53ZIDENTIFIKASI PERUBAHAN DASAR LAUT MENGGUNAKAN MODEL DATA BATIMETRI SINGLE BEAM PADA AREA PENAMBANGAN MINERAL BAWAH LAUT Ryandri Adhinusa, Mohammad Indonesia Final Project seabed surface model, spatial interpolation, Inverse Distance Weighted, Kriging, dredging volume. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/36788 One of the objectives of processing bathymetry data is to obtain surface profiles information of the seabed. These profiles can be used for navigation, offshore activities, research, and underwater mineral mining. In relation to the needs of submarine mineral mining, accurate seabed surface model is important since it is required to calculate the sediment dredging volume, as obtained from the difference elevation values between two surface models of the seabed. This research was attempted to find out how much the difference in the volume of dredging sediment was processed using two different interpolation methods. The processing of bathymetry data for making seabed surface models in this study used Inverse Distance Weighted (IDW) and Kriging interpolation methods. These methods were then applied to two epochs of single beam echosounder batimetric data in November 2017 and March 2018. Based on the results, the dredging volume on the seabed surface model generated using IDW was about 62,299.3 m3. While, the dredging volume generated using Kriging is approximately 72,215.7 m3. The difference on dredging volume is caused by the difference on sample points density between data and surface interpolation mechanism between IDW and Kriging. By calculating and comparing on dredging volume, the dredging cost could be estimated as well as the difference on dredging cost which caused by different interpolation method used. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description One of the objectives of processing bathymetry data is to obtain surface profiles information of the seabed. These profiles can be used for navigation, offshore activities, research, and underwater mineral mining. In relation to the needs of submarine mineral mining, accurate seabed surface model is important since it is required to calculate the sediment dredging volume, as obtained from the difference elevation values between two surface models of the seabed. This research was attempted to find out how much the difference in the volume of dredging sediment was processed using two different interpolation methods. The processing of bathymetry data for making seabed surface models in this study used Inverse Distance Weighted (IDW) and Kriging interpolation methods. These methods were then applied to two epochs of single beam echosounder batimetric data in November 2017 and March 2018. Based on the results, the dredging volume on the seabed surface model generated using IDW was about 62,299.3 m3. While, the dredging volume generated using Kriging is approximately 72,215.7 m3. The difference on dredging volume is caused by the difference on sample points density between data and surface interpolation mechanism between IDW and Kriging. By calculating and comparing on dredging volume, the dredging cost could be estimated as well as the difference on dredging cost which caused by different interpolation method used.
format Final Project
author Ryandri Adhinusa, Mohammad
spellingShingle Ryandri Adhinusa, Mohammad
IDENTIFIKASI PERUBAHAN DASAR LAUT MENGGUNAKAN MODEL DATA BATIMETRI SINGLE BEAM PADA AREA PENAMBANGAN MINERAL BAWAH LAUT
author_facet Ryandri Adhinusa, Mohammad
author_sort Ryandri Adhinusa, Mohammad
title IDENTIFIKASI PERUBAHAN DASAR LAUT MENGGUNAKAN MODEL DATA BATIMETRI SINGLE BEAM PADA AREA PENAMBANGAN MINERAL BAWAH LAUT
title_short IDENTIFIKASI PERUBAHAN DASAR LAUT MENGGUNAKAN MODEL DATA BATIMETRI SINGLE BEAM PADA AREA PENAMBANGAN MINERAL BAWAH LAUT
title_full IDENTIFIKASI PERUBAHAN DASAR LAUT MENGGUNAKAN MODEL DATA BATIMETRI SINGLE BEAM PADA AREA PENAMBANGAN MINERAL BAWAH LAUT
title_fullStr IDENTIFIKASI PERUBAHAN DASAR LAUT MENGGUNAKAN MODEL DATA BATIMETRI SINGLE BEAM PADA AREA PENAMBANGAN MINERAL BAWAH LAUT
title_full_unstemmed IDENTIFIKASI PERUBAHAN DASAR LAUT MENGGUNAKAN MODEL DATA BATIMETRI SINGLE BEAM PADA AREA PENAMBANGAN MINERAL BAWAH LAUT
title_sort identifikasi perubahan dasar laut menggunakan model data batimetri single beam pada area penambangan mineral bawah laut
url https://digilib.itb.ac.id/gdl/view/36788
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